{"id":"W2140559372","doi":"10.1002/hec.1378","title":"Physician labour supply in Canada: a cohort analysis","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council; University of British Columbia; Canadian Medical Association; McMaster University","keywords":"Medicine; Cohort; Demography; Secular variation; Cohort effect; Graduation (instrument); Cohort study; Work hours; Family medicine; Working hours; Internal medicine; Labour economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816626,0.0003366996,0.0004726987,0.002041457,0.002258577,0.00124425,0.00107045,0.0005949822,0.00270759],"category_scores_gemma":[0.003497487,0.0003619085,0.001217907,0.003661852,0.0005825387,0.0003166273,0.001100758,0.0008062468,0.0003099576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188055,"about_ca_system_score_gemma":0.01916629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869913,"about_ca_topic_score_gemma":0.9829913,"domain_scores_codex":[0.9988715,0.0001339322,0.00004072473,0.000155499,0.0002828189,0.0005155687],"domain_scores_gemma":[0.9970446,0.0003876786,0.0005527842,0.0002946956,0.0009468358,0.0007734013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363534,0.00003083584,0.9926851,0.00001048067,0.00011318,0.0001916458,0.0005788466,0.0007196199,0.00007415358,0.0004385952,0.001237543,0.003783701],"study_design_scores_gemma":[0.00002552648,0.00004439212,0.9927651,0.00002385364,0.00007258702,0.00008784528,0.001213685,0.003325838,0.00005078494,0.0001528684,0.002220602,0.00001694665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942552,0.0004273447,0.0003196217,0.0004599119,0.0000175388,0.00004688017,0.003316781,0.00001230028,0.001144362],"genre_scores_gemma":[0.9947844,0.0005087108,0.0002637833,0.00008608245,0.00001115899,0.00002260522,0.002424656,0.000005959019,0.001892572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300865,"threshold_uncertainty_score":0.08619982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388580377671868,"score_gpt":0.2434843058197449,"score_spread":0.1995985020430263,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}